Sökning: "Scikit-Learn"

Visar resultat 16 - 20 av 27 uppsatser innehållade ordet Scikit-Learn.

  1. 16. Creating a Back Stock to Increase Order Delivery and Pickup Availability

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :John Nguyen; Kasper Lindén; [2019]
    Nyckelord :e-commerce; back stock; statistics; supervised machine learning; linear regression; Scikit-learn; e-handel; baklager; statistik; övervakad maskininlärning; linjär regression; Scikit-learn;

    Sammanfattning : Apotek Hjärtat wants to keep developing their e-commerce website and improve retrieval and delivery of orders to customers. Click and Collect and Click and Express are two options for retrieving e-commerce orders that are available if all products in the order are present in the store. LÄS MER

  3. 17. Utvärderingsmetod av kurvanpassningar för identifiering av trender i cykelbarometerdata

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Gabriel Moltubakk; Jody O'Neill; [2018]
    Nyckelord :machine; learning; curve; fitting; utvärderingsmetod; kurvanpassning; cyklar; trafik; långtidstrender;

    Sammanfattning : Inledning: ​Maskininlärning kan användas för att göra förutsägelser påmängder av data. Vi presenterar en studie där vi analyserat data från encykelbarometer som registrerar förbipasserande cyklar vid en cykelväg iMalmö. LÄS MER

  4. 18. Investigating Machine Learning Clustering Methods to Replicate the Human Idea of Structure to Documents

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Johannes Jansson; Victor Miller; [2018]
    Nyckelord :machine learning; k-means; support vector machine; svm; tf-idf; clustering; document; documents; pdf; information retrieval; scikit-learn; Mathematics and Statistics;

    Sammanfattning : Anyone trying to maintain a set of text documents in an information retrieval system will run into problems keeping it relevant and up to date as the amount of data increases. This thesis investigates how a collection of documents can be clustered in a way that resembles how a human would organize it. LÄS MER

  5. 19. Email Classification with Machine Learning and Word Embeddings for Improved Customer Support

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Författare :Oliver Rosander; Jim Ahlstrand; [2018]
    Nyckelord :Email Classification; Machine Learning; Long Short Term Memory; Natural Language Processing;

    Sammanfattning : Classifying emails into distinct labels can have a great impact on customer support. By using machine learning to label emails the system can set up queues containing emails of a specific category. This enables support personnel to handle request quicker and more easily by selecting a queue that match their expertise. LÄS MER

  7. 20. A comperative study of text classification models on invoices : The feasibility of different machine learning algorithms and their accuracy

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Linus Ekström; Andreas Augustsson; [2018]
    Nyckelord :Machine learning; text classification; invoices; supervised learning; information retrieval; ensemble learning;

    Sammanfattning : Text classification for companies is becoming more important in a world where an increasing amount of digital data are made available. The aim is to research whether five different machine learning algorithms can be used to automate the process of classification of invoice data and see which one gets the highest accuracy. LÄS MER